首页|Tepecik Training and Research Hospital Reports Findings in Machine Learning (JAK Calc: A machine-learning approach to rationalized JAK2 testing in patients with elevated hemoglobin levels)
Tepecik Training and Research Hospital Reports Findings in Machine Learning (JAK Calc: A machine-learning approach to rationalized JAK2 testing in patients with elevated hemoglobin levels)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Izmir, Turkey, by NewsRx journalists, research stated, “The demand for Janus Kinase-2(JAK2) testing has been disproportionate to the low yield of positive results, which highlights th e need formore discerning test strategies. The aim of this study is to introduc e an artificial intelligence applicationas a more rational approach for testing JAK2 mutations in cases of erythrocytosis.”
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